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ERIC Number: ED457717
Record Type: RIE
Publication Date: 2001-Jun
Pages: 19
Abstractor: N/A
Reference Count: N/A
ISBN: N/A
ISSN: N/A
Modeling Comparative Daily Enrollment Indicators To Aid Intelligent College Decisions. AIR 2001 Annual Forum Paper.
Lajubutu, Oyebanjo A.
This paper shows how three critical enrollment indicators drawn from a relationship database were used to guide planning and management decisions. The paper discusses the guidelines for the development of the model, attributes needed, variables to be calculated, and other issues that may improve the effectiveness and efficiency of daily enrollment analysis and reporting for institutional researchers, enrollment managers, and registration personnel using Banner, Datatel, and Peoplesoft packages. Comparative student headcount, full-time equivalent (FTE) information, and credit load information within 126 registration days of fall 1999 and fall 2000 were analyzed and discussed. This information is a rich source for those who struggle with fundamental daily enrollment management issues before and after the semester begins. A college or university will find the daily enrollment analysis an added value for academic planning activities and for predicting enrollment at a given point during the registration period. (SLD)
Publication Type: Reports - Research; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Note: Paper presented at the Annual Meeting of the Association for Institutional Research (41st, Long Beach, CA, June 3-6, 2001).